Maksims Volkovs
Maksims Volkovs
Layer6 AI
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Cited by
Cited by
Continuous data cleaning
M Volkovs, F Chiang, J Szlichta, RJ Miller
2014 IEEE 30th international conference on data engineering, 244-255, 2014
Boltzrank: learning to maximize expected ranking gain
MN Volkovs, RS Zemel
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
DropoutNet: Addressing Cold Start in Recommender Systems.
M Volkovs, GW Yu, T Poutanen
NIPS, 4957-4966, 2017
A flexible generative model for preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 21st international conference on World Wide Web, 479-488, 2012
Collaborative ranking with 17 parameters
M Volkovs, R Zemel
Advances in neural information processing systems 25, 2294-2302, 2012
Learning to rank with multiple objective functions
KM Svore, MN Volkovs, CJC Burges
Proceedings of the 20th international conference on World wide web, 367-376, 2011
Effective latent models for binary feedback in recommender systems
M Volkovs, GW Yu
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
Content-based neighbor models for cold start in recommender systems
M Volkovs, GW Yu, T Poutanen
Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017
New learning methods for supervised and unsupervised preference aggregation
MN Volkovs, RS Zemel
The Journal of Machine Learning Research 15 (1), 1135-1176, 2014
Learning to rank by aggregating expert preferences
MN Volkovs, H Larochelle, RS Zemel
Proceedings of the 21st ACM international conference on Information and …, 2012
Two-stage model for automatic playlist continuation at scale
M Volkovs, H Rai, Z Cheng, G Wu, Y Lu, S Sanner
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
Efficient sampling for bipartite matching problems
M Volkovs, R Zemel
Advances in Neural Information Processing Systems 25, 1313-1321, 2012
Context models for web search personalization
M Volkovs
arXiv preprint arXiv:1502.00527, 2015
Two-stage approach to item recommendation from user sessions
M Volkovs
Proceedings of the 2015 International ACM Recommender Systems Challenge, 1-4, 2015
Explore-exploit graph traversal for image retrieval
C Chang, G Yu, C Liu, M Volkovs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
CRF framework for supervised preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 22nd ACM international conference on Information …, 2013
Guided similarity separation for image retrieval
C Liu, G Yu, M Volkovs, C Chang, H Rai, J Ma, SK Gorti
Noise Contrastive Estimation for One-Class Collaborative Filtering
G Wu, M Volkovs, CL Soon, S Sanner, H Rai
Proceedings of the 41st International ACM SIGIR Conference on Research and …, 2019
Methods and Systems for Communicating Social Expression
F Falcone, M Volkovs
US Patent App. 13/345,205, 2012
Probabilistic simulation of quantum circuits with the transformer
J Carrasquilla, D Luo, F Pérez, A Milsted, BK Clark, M Volkovs, L Aolita
arXiv preprint arXiv:1912.11052, 2019
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